6 Result(s)
within
Computer Science
Algorithm Analysis and Problem Complexity
Computer Communication Networks
Yan **a Chen
Chapter
Conference Paper
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Chapter and Conference Paper
Classifying Unbalanced Pattern Groups by Training Neural Network
When training set is unbalanced, the conventional least square error (LSE) training strategy is less efficient to train neural network (NN) for classification because it often lead the NN to overcompensate for...
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Chapter and Conference Paper
Research of the Incentive Mechanism of Organizational Information Resources Sharing under Cloud Computing Environment
The rapid development of Cloud Computing enables more personalized and more complex information service. Therefore, the demand for higher quality and larger amounts of information becomes inevitable. This pape...
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Chapter and Conference Paper
Improved Separable Reversible Data Hiding in Encrypted Image Based on Neighborhood Prediction
Recently, separable reversible data hiding in encrypted image attracts more and more attention. Data extraction and image decryption are separable in the separable reversible data hiding method in encrypted im...
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Chapter and Conference Paper
Biclustering Evolutionary Spatiotemporal Community in Global Trading Network
Detecting evolving communities in dynamic weighted networks are significant for understanding the evolutionary patterns of complex networks. In this paper, a novel algorithm is proposed to detect overlap** e...
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Chapter and Conference Paper
A Fast Algorithm for Image Segmentation Based on Local Chan Vese Model
Image segmentation plays a very important pole in image processing and computer vision field. Most of the energy minimization of level set methods are based on the steepest descent method and finite difference...
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Chapter and Conference Paper
Image Segmentation Based on Local Chan-Vese Model Combined with Fractional Order Derivative
Image segmentation plays a significant role in computer vision and image processing. In this paper, we proposed a novel Local Chan–Vese (LCV) image segmentation model. The new model combined classical LCV mode...
